![](/images/graphics-bg.png)
Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation
Joint Authors
Long, Jiangqi
Huang, Wenhao
Zhang, Wuhu
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The total weight of Extended-Range Electric Vehicle (E-REV) is too heavy, which affects rear-end collision safety.
Using numerical simulation, a lightweight method is designed to reduce E-REV body and key parts weight based on rear-end collision failure analysis.
To calculate and optimize the performance of vehicle safety, the simulation model of E-REV rear-end collision safety is built by using finite element analysis.
Drive battery pack lightweight design method is analyzed and the bending mode and torsional mode of E-REV before and after lightweight are compared to evaluate E-REV rear-end collision safety performance.
The simulation results of optimized E-REV safety structure are verified by both numerical simulation and experimental investigation of the entire vehicle crash test.
American Psychological Association (APA)
Long, Jiangqi& Huang, Wenhao& Zhang, Wuhu. 2015. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078094
Modern Language Association (MLA)
Long, Jiangqi…[et al.]. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078094
American Medical Association (AMA)
Long, Jiangqi& Huang, Wenhao& Zhang, Wuhu. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078094